SmartData has added a DJI L3 workflow that turns raw mission data into georeferenced, colourised, streamable point clouds for review, sharing, and downstream analytics.
Status
Early access
Best-fit audience
Survey teams capturing DJI L3 missions
Early access for teams that want to discuss DJI L3 mission processing and review the resulting point cloud in SmartData.
Attribute-rich L3 output
Move between natural colour, elevation, return number, and intensity without exporting separate viewer files or losing the source attributes needed for forestry, terrain, and corridor analysis.
Review towers, conductors, vegetation, access tracks, and terrain in a familiar colourised point cloud.
Connect source data, SmartData processing, hosted views, and review outputs so operational teams can move from capture to decisions with less file handling.
01.x and 17.x DJI L3 firmware families
RPOS-based local-to-UTM georeferencing
Geometry, intensity, return numbers, and RGB colourisation
LAS/LAZ artifact retention with browser-streaming point cloud views
QA reporting against available LDRT references
Attribute preservation for forestry, corridor, and terrain analytics
Upload or hand off a complete DJI L3 mission folder with LDR, RPOS, CLI, and optional imagery.
Decode the L3 mission into measured returns with range gates and segment-aware reporting.
Fit the trajectory to UTM from RPOS, embed CRS, and preserve local-frame outputs where needed.
Tile the cloud for SmartData viewing and keep downloadable LAS/LAZ artifacts.
Surface QA metrics, colour coverage, point counts, and processing status for review.
SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.
SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.
SmartData gives this team a hosted workflow for turning complex capture outputs into reviewable evidence.
Straight answers about inputs, availability, outputs, and where human review still matters.
This workflow is being developed for controlled SmartData processing. It requires complete mission folders and supported packaging to validate segments, georeference the output, and report quality checks.
This workflow is being developed to remove the need for a Terra export on supported L3 processing paths. Some teams may still compare results with Terra deliverables during quality review or transition.
The workflow is designed to produce colourised point clouds, retained LAS/LAZ artifacts, QA reporting, and hosted SmartData views for team review.
